Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest e...Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest effect on this spatial evolution. We aimed at merging these two aspects by using firm level databases in 1996 and 2010. To explain spatial change of the high-tech firms in Beijing, the Kernel density estimation method was used for hotspot analysis and detection by comparing their locations in 1996 and 2010, through which spatial features and their temporal changes could be approximately plotted. Furthermore, to provide quantitative results, Ripley′s K-function was used as an instrument to reveal spatial shift and the dispersion distance of high-tech manufacturing firms in Beijing. By employing a negative binominal regression model, we evaluated the main determinants that have significantly affected the spatial evolution of high-tech manufacturing firms and compared differential influence of these locational factors on overall high-tech firms and each sub-sectors. The empirical analysis shows that high-tech industries in Beijing, in general, have evident agglomeration characteristics, and that the hotspot has shifted from the central city to suburban areas. In combination with the Ripley index, this study concludes that high-tech firms are now more scattered in metropolitan areas of Beijing as compared with 1996. The results of regression model indicate that the firms′ locational decisions are significantly influenced by the spatial planning and regulation policies of the municipal government. In addition, market processes involving transportation accessibility and agglomeration economy have been found to be important in explaining the dynamics of locational variation of high-tech manufacturing firms in Beijing. Research into how markets and the government interact to determine the location of high-tech manufacturing production will be helpful for policymakers to enact effective policies toward a more efficient urban spatial structure.展开更多
Based on a refined ＂non-competitive input-output model,＂ this paper proposes a new framework for analyzing the status of a country＇s high-tech industries in the international division of labor, i.e. calculates the ...Based on a refined ＂non-competitive input-output model,＂ this paper proposes a new framework for analyzing the status of a country＇s high-tech industries in the international division of labor, i.e. calculates the index of＂ weighted value-added productivity ＂ by compiling non-competitive input-output tables which distinguish high-tech industries from traditional industries. The new method effectively avoids ＂statistical illusion＂ which stems from a biased focus on gross exports under intra-product specialization. The empirical study shows that since 1995, the status of China＇s high-tech industries has grown quickly as a result of enhanced labor productivity, but still lags behind those of major developed countries. In addition, the study also suggests that the status of China＇s high-tech industries has been over-estimated using the traditional gross export statistical method.展开更多
While labor productivityis a topicof constant debate and hasbeen studied extensively, far less attention has been devoted to the question of capital productivity. Productive use of physical capital is an important sou...While labor productivityis a topicof constant debate and hasbeen studied extensively, far less attention has been devoted to the question of capital productivity. Productive use of physical capital is an important source of economic growth and investment return. This paper presents a comparative study of capital productivity in China’s high-tech industry. Using a version of theperpetualinventory method (PIM), new estimates have been madeof the physical capital stock by sector. Capital productivity in China’s high-tech industry is higherthan intotalmanufacturing,butthegapbetweenthem hasbeen shrinking.Comparison with high-tech industries in the US., highlightsthat China’shigh-tech industries could play a moreimportant rolein the growth of manufacturing and the whole economy.展开更多
This paper provides a comparative sociological analysis of the application models for industrial robots in the automotive and electronics industries.The integration of robots in these two key sectors has been a signif...This paper provides a comparative sociological analysis of the application models for industrial robots in the automotive and electronics industries.The integration of robots in these two key sectors has been a significant milestone in the evolution of modern manufacturing,contributing to major shifts in production processes,labor markets,and organizational structures.Through a comprehensive review of literature and case studies,the paper identifies and contrasts the driving factors for robot adoption,the impact of automation on the workforce,and the sociocultural factors influencing these transitions.The automotive industry,characterized by high-volume production and cost-efficiency,and the electronics industry,known for precision and fast-paced production,present unique challenges and opportunities in robot integration.By examining these differences,the paper aims to offer insights into the broader social and economic implications of industrial robot deployment and its effect on industry dynamics and labor relations.The findings highlight not only the technological benefits but also the social challenges associated with automation in these industries.展开更多
For more than 30 years,Hangzhou Honghua Digital Technology Stock Co.,Ltd(hereinafter also referred to as Atexco)has led digital inkjet innovation.From textiles to packaging and publishing,we deliver turnkey solutions ...For more than 30 years,Hangzhou Honghua Digital Technology Stock Co.,Ltd(hereinafter also referred to as Atexco)has led digital inkjet innovation.From textiles to packaging and publishing,we deliver turnkey solutions that unite precision printers,high-performance inks,process know-how and AI-driven design—one ecosystem powering global industry upgrade with Chinese inkjet excellence.展开更多
Standardization serves as a critical foundation for the large-scale and industrialized development of the AI sector.With the theme that“standards lead the future,AI empowers industries”,the sub-forum on“artificial ...Standardization serves as a critical foundation for the large-scale and industrialized development of the AI sector.With the theme that“standards lead the future,AI empowers industries”,the sub-forum on“artificial intelligence+standardization”action cultivating future industries was held to focus on the needs of AI and future industries,and promote the exchange of international standardization concepts.It aimed to facilitate the joint forces of industry,academia,and research institutes,and accelerate the integration of technologies and standards.The sub-forum deepened international cooperation with standardization to address challenges of technological transformation,boost the high-quality industrial development,and foster an advanced ecosystem for future industries.展开更多
The“government-industry-university-research”model has significant practical significance in promoting the development of industries in colleges and universities and improving the quality of talent cultivation.This p...The“government-industry-university-research”model has significant practical significance in promoting the development of industries in colleges and universities and improving the quality of talent cultivation.This paper first provides a brief explanation of the concept and significance of the“government-industry-university-research”model,then conducts an in-depth analysis of the problems faced by the development of university industries,and finally proposes effective solutions to the problems faced by the development of university industries,hoping to provide some references and lessons for promoting the continuous development of university industries and the integration of industry and education.展开更多
Strategic emerging industries represent the forefront of the new technological revolution and industrial transformation,serving as a critical domain for China to cultivate new growth drivers and establish competitive ...Strategic emerging industries represent the forefront of the new technological revolution and industrial transformation,serving as a critical domain for China to cultivate new growth drivers and establish competitive advantages.The development of these industries has become a major strategy for leading countries to attain competitive advantages in the new wave of economic and technological advancement.The ongoing energy revolution is driving the transition of traditional energy systems toward green and low-carbon models,while simultaneously fostering emerging industrial clusters such as new energy equipment manufacturing,energy storage,and energy internet.Energy companies are accelerating the deployment of innovative models that integrate new and traditional energy systems through technological and business model innovation.This study systematically analyzes the current status,trends,opportunities,and challenges faced by energy companies venturing into strategic emerging industries.The findings aim to guide energy companies in navigating the dual imperatives of energy transition and industrial upgrading,thereby contributing to sustainable development and global competitiveness.展开更多
The rise of creative industries in this century has aroused strong interest in the concept“cultural capital”in academia.Cultural capital can be understood as various forms of cultural resources that achieve signific...The rise of creative industries in this century has aroused strong interest in the concept“cultural capital”in academia.Cultural capital can be understood as various forms of cultural resources that achieve significant appreciation in existing economic,political,and cultural structures through active and rapid reproduction,thereby influencing changes in existing economic,political,and cultural structures,including production relations with capitalist characteristics.The capitalization of culture negates the original ecological value of culture,denies human needs for culture,undermines the true value of cultural exchange and creation,and can easily lead to the formation of cultural hegemony.However,the process of cultural capitalization and the changes in cultural values within it indicate that the capitalization of culture is to some extent an inevitable historical development.The new cultural capital has demonstrated tremendous power in promoting the development of contemporary creative industries and producing cultural masterpieces.Of course,this first requires it to refuse to become a tool for economic capital and digital technology.展开更多
Digital-intelligent technologies represent the advanced direction of new quality productive forces and are becoming a driving force for the digital transformation and high-quality development of the cultural industry....Digital-intelligent technologies represent the advanced direction of new quality productive forces and are becoming a driving force for the digital transformation and high-quality development of the cultural industry.Empowered by new quality productive forces,the digital cultural industry has demonstrated diverse characteristics,including the innovation of cultural production subjects,the intelligentization of production tools,the digitization of production objects,the systematization of production methods,and the diversification of production factors.Leveraging technologies such as AIGC,virtual-physical integration,and DAOs based on Web 3.0,the digital cultural industry has established an innovative paradigm,fostering a new method of AIGC production in the digital cultural industry,a new business format of virtual-physical integration,and a new collaborative ecosystem characterized by co-creation,co-building,and co-governance.Meanwhile,the innovative paradigm of the digital cultural industry also faces a series of new challenges,such as the adaptability issues with AIGC algorithm models,creative bottlenecks,and content quality control problems.Additionally,there are obstacles like the immaturity of international development channels for new business formats,the lack of cultural connotations in creative products,and the lag of the digital-intelligent governance of the industry ecosystem behind digital practices.In light of this,there is an urgent need to establish an optimization mechanism for the high-quality development of digital cultural industries driven by new quality productive forces.This includes optimizing the content production mechanism for AIGC-led high-quality innovation in the digital cultural industry;improving the leapfrog development mechanism for new digital cultural business formats through global-regional collaboration;and enhancing the accurate,high-quality governance mechanism for the digital cultural industry that is aligned with the goals of Chinese modernization.展开更多
In the context of national efforts to promote high-quality development of vocational education and deepen industry-education integration,private vocational undergraduate institutions serve as crucial platforms bridgin...In the context of national efforts to promote high-quality development of vocational education and deepen industry-education integration,private vocational undergraduate institutions serve as crucial platforms bridging the cultivation of high-level technical and skilled talents with regional industrial development.The alignment between their distinctive specialty clusters and regional industrial synergy directly impacts talent development quality and regional economic efficiency.This paper analyzes the inherent logic of coordinated development between specialty clusters and regional industries,leveraging the flexible operational mechanisms and direct industry connections of private vocational institutions.It identifies current challenges,including“inaccurate demand alignment,insufficient resource integration,and loose interest coordination,”and proposes four strategic dimensions:establishing collaborative research mechanisms,optimizing cluster layouts,deepening industry-education integration,and improving support systems.These recommendations provide actionable references for advancing high-quality coordinated development between private vocational institutions and regional industries.展开更多
Objective To empirically analyze the relationship between Government R&D funding and R&D investment of the enterprises in different sub industries of pharmaceutical industry,and to provide reference for the de...Objective To empirically analyze the relationship between Government R&D funding and R&D investment of the enterprises in different sub industries of pharmaceutical industry,and to provide reference for the development of policies related to R&D funding input.Methods Granger causality test was performed using the data of relevant indicators in different sub industries of China’s pharmaceutical industry from 1995 to 2019 based on the theory of covariance.Results and Conclusion The funding of R&D from the government had a significant positive effect on their R&D funding inputs to enterprises with chemo products,Chinese patent products,and biological products.It means the improvement of government funding was beneficial in promoting the R&D investment from various sub industries of pharmaceutical industry.The order of this influence was biological products,chemo products,and Chinese patent drugs.As to chemical drugs and biological products,the government’s R&D funding and enterprises R&D funding input showed a good trend of mutual promotion in a certain lag period.The government can fully leverage its funding to promote the investment of all sub industries of pharmaceutical industry.Meanwhile,regulatory mechanisms should be refined for government funding.For the inheritance,innovation,and development of traditional Chinese medicine,the government should give more policy support than financial support.展开更多
The ASEAN-China(Beijing Municipal Administrative Centre)Trade and Investment Promotion Conference serves as a new platform for fostering collaboration in trade,investment,and sustainable growth.The event,held in Tongz...The ASEAN-China(Beijing Municipal Administrative Centre)Trade and Investment Promotion Conference serves as a new platform for fostering collaboration in trade,investment,and sustainable growth.The event,held in Tongzhou District-the municipal administrative center of Beijing-highlights shared aspirations for building an environmentally friendly and innovation-driven regional economy.展开更多
Traditional demand response(DR)programs for energy-intensive industries(EIIs)primarily rely on electricity price signals and often overlook carbon emission factors,limiting their effectiveness in supporting lowcarbon ...Traditional demand response(DR)programs for energy-intensive industries(EIIs)primarily rely on electricity price signals and often overlook carbon emission factors,limiting their effectiveness in supporting lowcarbon transitions.To address this challenge,this paper proposes an electricity–carbon integratedDR strategy based on a bi-level collaborative optimization framework that coordinates the interaction between the grid and EIIs.At the upper level,the grid operatorminimizes generation and curtailment costs by optimizing unit commitment while determining real-time electricity prices and dynamic carbon emission factors.At the lower level,EIIs respond to these dual signals by minimizing their combined electricity and carbon trading costs,considering their participation in medium-and long-term electricity markets,day-ahead spot markets,and carbon emissions trading schemes.The model accounts for direct and indirect carbon emissions,distributed photovoltaic(PV)generation,and battery energy storage systems.This interaction is structured as a Stackelberg game,where the grid acts as the leader and EIIs as followers,enabling dynamic feedback between pricing signals and load response.Simulation studies on an improved IEEE 30-bus system,with a cement plant as a representative user form EIIs,show that the proposed strategy reduces user-side carbon emissions by 7.95% and grid-side generation cost by 4.66%,though the user’s energy cost increases by 7.80% due to carbon trading.Theresults confirmthat the joint guidance of electricity and carbon prices effectively reshapes user load profiles,encourages peak shaving,and improves PV utilization.This coordinated approach not only achieves emission reduction and cost efficiency but also offers a theoretical and practical foundation for integrating carbon pricing into demand-side energy management in future low-carbon power systems.展开更多
1.Introduction The ocean,a vital realm for human existence,encompasses distinct spatial zones,such as the free surface,airspace above the sea,and seabed.It also holds an immense wealth of resources,including oil and g...1.Introduction The ocean,a vital realm for human existence,encompasses distinct spatial zones,such as the free surface,airspace above the sea,and seabed.It also holds an immense wealth of resources,including oil and gas,renewable energy,minerals,and marine biodiversity,forming a crucial component of global life-support systems and representing a valuable asset for human survival and development[1].Moreover,as shown in Fig.1[2],the ocean sectors offer a critical avenue for contributing to many of the 17 United Nations Sustainable Development Goals for global development[3].展开更多
The 6D pose estimation of objects is of great significance for the intelligent assembly and sorting of industrial parts.In the industrial robot production scenarios,the 6D pose estimation of industrial parts mainly fa...The 6D pose estimation of objects is of great significance for the intelligent assembly and sorting of industrial parts.In the industrial robot production scenarios,the 6D pose estimation of industrial parts mainly faces two challenges:one is the loss of information and interference caused by occlusion and stacking in the sorting scenario,the other is the difficulty of feature extraction due to the weak texture of industrial parts.To address the above problems,this paper proposes an attention-based pixel-level voting network for 6D pose estimation of weakly textured industrial parts,namely CB-PVNet.On the one hand,the voting scheme can predict the keypoints of affected pixels,which improves the accuracy of keypoint localization even in scenarios such as weak texture and partial occlusion.On the other hand,the attention mechanism can extract interesting features of the object while suppressing useless features of surroundings.Extensive comparative experiments were conducted on both public datasets(including LINEMOD,Occlusion LINEMOD and T-LESS datasets)and self-made datasets.The experimental results indicate that the proposed network CB-PVNet can achieve accuracy of ADD(-s)comparable to state-of-the-art using only RGB images while ensuring real-time performance.Additionally,we also conducted robot grasping experiments in the real world.The balance between accuracy and computational efficiency makes the method well-suited for applications in industrial automation.展开更多
In recent years,against the backdrop of profound geopolitical changes,the European Union(EU)has been deeply mired in an industrial predicament,showing signs of shrinking production,capital outflows,relocation of produ...In recent years,against the backdrop of profound geopolitical changes,the European Union(EU)has been deeply mired in an industrial predicament,showing signs of shrinking production,capital outflows,relocation of production capacity,and lagging development in future industries.The primary causes of this situation include the energy supply crisis stemming from the decoupling from Russian energy,the impact of America's unilateral trade policy,structural flaws within the EU itself,and the intensification of global industrial competition.To overcome these challenges,the EU has introduced a series of new industrial policies,aiming at revitalizing its industries by strengthening support for local manufacturing,enhancing protective mechanisms for its domestic production,building diversified supply chains,and prioritizing the development of military industry.However,due to multiple obstacles such as heavy external dependence,significant funding gaps,internal divisions,and strategic short-sightedness,the EU still faces a long and arduous journey in its industrial revival.展开更多
The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has dri...The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has driven a growing need for robust ICS security measures.Among the key defences,intrusion detection technology is critical in identifying threats to ICS networks.This paper provides an overview of the distinctive characteristics of ICS network security,highlighting standard attack methods.It then examines various intrusion detection methods,including those based on misuse detection,anomaly detection,machine learning,and specialised requirements.This paper concludes by exploring future directions for developing intrusion detection systems to advance research and ensure the continued security and reliability of ICS operations.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.40971075)
文摘Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest effect on this spatial evolution. We aimed at merging these two aspects by using firm level databases in 1996 and 2010. To explain spatial change of the high-tech firms in Beijing, the Kernel density estimation method was used for hotspot analysis and detection by comparing their locations in 1996 and 2010, through which spatial features and their temporal changes could be approximately plotted. Furthermore, to provide quantitative results, Ripley′s K-function was used as an instrument to reveal spatial shift and the dispersion distance of high-tech manufacturing firms in Beijing. By employing a negative binominal regression model, we evaluated the main determinants that have significantly affected the spatial evolution of high-tech manufacturing firms and compared differential influence of these locational factors on overall high-tech firms and each sub-sectors. The empirical analysis shows that high-tech industries in Beijing, in general, have evident agglomeration characteristics, and that the hotspot has shifted from the central city to suburban areas. In combination with the Ripley index, this study concludes that high-tech firms are now more scattered in metropolitan areas of Beijing as compared with 1996. The results of regression model indicate that the firms′ locational decisions are significantly influenced by the spatial planning and regulation policies of the municipal government. In addition, market processes involving transportation accessibility and agglomeration economy have been found to be important in explaining the dynamics of locational variation of high-tech manufacturing firms in Beijing. Research into how markets and the government interact to determine the location of high-tech manufacturing production will be helpful for policymakers to enact effective policies toward a more efficient urban spatial structure.
文摘Based on a refined ＂non-competitive input-output model,＂ this paper proposes a new framework for analyzing the status of a country＇s high-tech industries in the international division of labor, i.e. calculates the index of＂ weighted value-added productivity ＂ by compiling non-competitive input-output tables which distinguish high-tech industries from traditional industries. The new method effectively avoids ＂statistical illusion＂ which stems from a biased focus on gross exports under intra-product specialization. The empirical study shows that since 1995, the status of China＇s high-tech industries has grown quickly as a result of enhanced labor productivity, but still lags behind those of major developed countries. In addition, the study also suggests that the status of China＇s high-tech industries has been over-estimated using the traditional gross export statistical method.
文摘While labor productivityis a topicof constant debate and hasbeen studied extensively, far less attention has been devoted to the question of capital productivity. Productive use of physical capital is an important source of economic growth and investment return. This paper presents a comparative study of capital productivity in China’s high-tech industry. Using a version of theperpetualinventory method (PIM), new estimates have been madeof the physical capital stock by sector. Capital productivity in China’s high-tech industry is higherthan intotalmanufacturing,butthegapbetweenthem hasbeen shrinking.Comparison with high-tech industries in the US., highlightsthat China’shigh-tech industries could play a moreimportant rolein the growth of manufacturing and the whole economy.
文摘This paper provides a comparative sociological analysis of the application models for industrial robots in the automotive and electronics industries.The integration of robots in these two key sectors has been a significant milestone in the evolution of modern manufacturing,contributing to major shifts in production processes,labor markets,and organizational structures.Through a comprehensive review of literature and case studies,the paper identifies and contrasts the driving factors for robot adoption,the impact of automation on the workforce,and the sociocultural factors influencing these transitions.The automotive industry,characterized by high-volume production and cost-efficiency,and the electronics industry,known for precision and fast-paced production,present unique challenges and opportunities in robot integration.By examining these differences,the paper aims to offer insights into the broader social and economic implications of industrial robot deployment and its effect on industry dynamics and labor relations.The findings highlight not only the technological benefits but also the social challenges associated with automation in these industries.
文摘For more than 30 years,Hangzhou Honghua Digital Technology Stock Co.,Ltd(hereinafter also referred to as Atexco)has led digital inkjet innovation.From textiles to packaging and publishing,we deliver turnkey solutions that unite precision printers,high-performance inks,process know-how and AI-driven design—one ecosystem powering global industry upgrade with Chinese inkjet excellence.
文摘Standardization serves as a critical foundation for the large-scale and industrialized development of the AI sector.With the theme that“standards lead the future,AI empowers industries”,the sub-forum on“artificial intelligence+standardization”action cultivating future industries was held to focus on the needs of AI and future industries,and promote the exchange of international standardization concepts.It aimed to facilitate the joint forces of industry,academia,and research institutes,and accelerate the integration of technologies and standards.The sub-forum deepened international cooperation with standardization to address challenges of technological transformation,boost the high-quality industrial development,and foster an advanced ecosystem for future industries.
文摘The“government-industry-university-research”model has significant practical significance in promoting the development of industries in colleges and universities and improving the quality of talent cultivation.This paper first provides a brief explanation of the concept and significance of the“government-industry-university-research”model,then conducts an in-depth analysis of the problems faced by the development of university industries,and finally proposes effective solutions to the problems faced by the development of university industries,hoping to provide some references and lessons for promoting the continuous development of university industries and the integration of industry and education.
文摘Strategic emerging industries represent the forefront of the new technological revolution and industrial transformation,serving as a critical domain for China to cultivate new growth drivers and establish competitive advantages.The development of these industries has become a major strategy for leading countries to attain competitive advantages in the new wave of economic and technological advancement.The ongoing energy revolution is driving the transition of traditional energy systems toward green and low-carbon models,while simultaneously fostering emerging industrial clusters such as new energy equipment manufacturing,energy storage,and energy internet.Energy companies are accelerating the deployment of innovative models that integrate new and traditional energy systems through technological and business model innovation.This study systematically analyzes the current status,trends,opportunities,and challenges faced by energy companies venturing into strategic emerging industries.The findings aim to guide energy companies in navigating the dual imperatives of energy transition and industrial upgrading,thereby contributing to sustainable development and global competitiveness.
文摘The rise of creative industries in this century has aroused strong interest in the concept“cultural capital”in academia.Cultural capital can be understood as various forms of cultural resources that achieve significant appreciation in existing economic,political,and cultural structures through active and rapid reproduction,thereby influencing changes in existing economic,political,and cultural structures,including production relations with capitalist characteristics.The capitalization of culture negates the original ecological value of culture,denies human needs for culture,undermines the true value of cultural exchange and creation,and can easily lead to the formation of cultural hegemony.However,the process of cultural capitalization and the changes in cultural values within it indicate that the capitalization of culture is to some extent an inevitable historical development.The new cultural capital has demonstrated tremendous power in promoting the development of contemporary creative industries and producing cultural masterpieces.Of course,this first requires it to refuse to become a tool for economic capital and digital technology.
基金funded by Research on Policy Design and Implementation Path for High-Quality Development of Digital Cultural Industry(23&ZD087),a major project of the National Social Science Foundation of China.
文摘Digital-intelligent technologies represent the advanced direction of new quality productive forces and are becoming a driving force for the digital transformation and high-quality development of the cultural industry.Empowered by new quality productive forces,the digital cultural industry has demonstrated diverse characteristics,including the innovation of cultural production subjects,the intelligentization of production tools,the digitization of production objects,the systematization of production methods,and the diversification of production factors.Leveraging technologies such as AIGC,virtual-physical integration,and DAOs based on Web 3.0,the digital cultural industry has established an innovative paradigm,fostering a new method of AIGC production in the digital cultural industry,a new business format of virtual-physical integration,and a new collaborative ecosystem characterized by co-creation,co-building,and co-governance.Meanwhile,the innovative paradigm of the digital cultural industry also faces a series of new challenges,such as the adaptability issues with AIGC algorithm models,creative bottlenecks,and content quality control problems.Additionally,there are obstacles like the immaturity of international development channels for new business formats,the lack of cultural connotations in creative products,and the lag of the digital-intelligent governance of the industry ecosystem behind digital practices.In light of this,there is an urgent need to establish an optimization mechanism for the high-quality development of digital cultural industries driven by new quality productive forces.This includes optimizing the content production mechanism for AIGC-led high-quality innovation in the digital cultural industry;improving the leapfrog development mechanism for new digital cultural business formats through global-regional collaboration;and enhancing the accurate,high-quality governance mechanism for the digital cultural industry that is aligned with the goals of Chinese modernization.
基金China Private Education Association 2025 Annual Planning Topic“Research on the Construction Path of Characteristic Specialty Groups in Private Vocational Undergraduate Colleges——Dynamic Adjustment Mechanism of Specialty at Hainan Science and Technology Vocational University Based on Regional Industrial Demand”(CANQN250302)。
文摘In the context of national efforts to promote high-quality development of vocational education and deepen industry-education integration,private vocational undergraduate institutions serve as crucial platforms bridging the cultivation of high-level technical and skilled talents with regional industrial development.The alignment between their distinctive specialty clusters and regional industrial synergy directly impacts talent development quality and regional economic efficiency.This paper analyzes the inherent logic of coordinated development between specialty clusters and regional industries,leveraging the flexible operational mechanisms and direct industry connections of private vocational institutions.It identifies current challenges,including“inaccurate demand alignment,insufficient resource integration,and loose interest coordination,”and proposes four strategic dimensions:establishing collaborative research mechanisms,optimizing cluster layouts,deepening industry-education integration,and improving support systems.These recommendations provide actionable references for advancing high-quality coordinated development between private vocational institutions and regional industries.
文摘Objective To empirically analyze the relationship between Government R&D funding and R&D investment of the enterprises in different sub industries of pharmaceutical industry,and to provide reference for the development of policies related to R&D funding input.Methods Granger causality test was performed using the data of relevant indicators in different sub industries of China’s pharmaceutical industry from 1995 to 2019 based on the theory of covariance.Results and Conclusion The funding of R&D from the government had a significant positive effect on their R&D funding inputs to enterprises with chemo products,Chinese patent products,and biological products.It means the improvement of government funding was beneficial in promoting the R&D investment from various sub industries of pharmaceutical industry.The order of this influence was biological products,chemo products,and Chinese patent drugs.As to chemical drugs and biological products,the government’s R&D funding and enterprises R&D funding input showed a good trend of mutual promotion in a certain lag period.The government can fully leverage its funding to promote the investment of all sub industries of pharmaceutical industry.Meanwhile,regulatory mechanisms should be refined for government funding.For the inheritance,innovation,and development of traditional Chinese medicine,the government should give more policy support than financial support.
文摘The ASEAN-China(Beijing Municipal Administrative Centre)Trade and Investment Promotion Conference serves as a new platform for fostering collaboration in trade,investment,and sustainable growth.The event,held in Tongzhou District-the municipal administrative center of Beijing-highlights shared aspirations for building an environmentally friendly and innovation-driven regional economy.
基金supported by the Science and Technology Project of Yunnan Power Grid Co.,Ltd.under Grant No.YNKJXM20222410.
文摘Traditional demand response(DR)programs for energy-intensive industries(EIIs)primarily rely on electricity price signals and often overlook carbon emission factors,limiting their effectiveness in supporting lowcarbon transitions.To address this challenge,this paper proposes an electricity–carbon integratedDR strategy based on a bi-level collaborative optimization framework that coordinates the interaction between the grid and EIIs.At the upper level,the grid operatorminimizes generation and curtailment costs by optimizing unit commitment while determining real-time electricity prices and dynamic carbon emission factors.At the lower level,EIIs respond to these dual signals by minimizing their combined electricity and carbon trading costs,considering their participation in medium-and long-term electricity markets,day-ahead spot markets,and carbon emissions trading schemes.The model accounts for direct and indirect carbon emissions,distributed photovoltaic(PV)generation,and battery energy storage systems.This interaction is structured as a Stackelberg game,where the grid acts as the leader and EIIs as followers,enabling dynamic feedback between pricing signals and load response.Simulation studies on an improved IEEE 30-bus system,with a cement plant as a representative user form EIIs,show that the proposed strategy reduces user-side carbon emissions by 7.95% and grid-side generation cost by 4.66%,though the user’s energy cost increases by 7.80% due to carbon trading.Theresults confirmthat the joint guidance of electricity and carbon prices effectively reshapes user load profiles,encourages peak shaving,and improves PV utilization.This coordinated approach not only achieves emission reduction and cost efficiency but also offers a theoretical and practical foundation for integrating carbon pricing into demand-side energy management in future low-carbon power systems.
基金supported by the National Natural Science Foun-dation of China(52088102)the KeyR&DProgram of Shandong Province,China(2021ZLGX04).
文摘1.Introduction The ocean,a vital realm for human existence,encompasses distinct spatial zones,such as the free surface,airspace above the sea,and seabed.It also holds an immense wealth of resources,including oil and gas,renewable energy,minerals,and marine biodiversity,forming a crucial component of global life-support systems and representing a valuable asset for human survival and development[1].Moreover,as shown in Fig.1[2],the ocean sectors offer a critical avenue for contributing to many of the 17 United Nations Sustainable Development Goals for global development[3].
基金supported by the Knowledge Innovation Program of Wuhan-Shuguang Project(Grant No.2023010201020443)the School-Level Scientific Research Project Funding Program of Jianghan University(Grant No.2022XKZX33)the Natural Science Foundation of Hubei Province(Grant No.2024AFB466).
文摘The 6D pose estimation of objects is of great significance for the intelligent assembly and sorting of industrial parts.In the industrial robot production scenarios,the 6D pose estimation of industrial parts mainly faces two challenges:one is the loss of information and interference caused by occlusion and stacking in the sorting scenario,the other is the difficulty of feature extraction due to the weak texture of industrial parts.To address the above problems,this paper proposes an attention-based pixel-level voting network for 6D pose estimation of weakly textured industrial parts,namely CB-PVNet.On the one hand,the voting scheme can predict the keypoints of affected pixels,which improves the accuracy of keypoint localization even in scenarios such as weak texture and partial occlusion.On the other hand,the attention mechanism can extract interesting features of the object while suppressing useless features of surroundings.Extensive comparative experiments were conducted on both public datasets(including LINEMOD,Occlusion LINEMOD and T-LESS datasets)and self-made datasets.The experimental results indicate that the proposed network CB-PVNet can achieve accuracy of ADD(-s)comparable to state-of-the-art using only RGB images while ensuring real-time performance.Additionally,we also conducted robot grasping experiments in the real world.The balance between accuracy and computational efficiency makes the method well-suited for applications in industrial automation.
文摘In recent years,against the backdrop of profound geopolitical changes,the European Union(EU)has been deeply mired in an industrial predicament,showing signs of shrinking production,capital outflows,relocation of production capacity,and lagging development in future industries.The primary causes of this situation include the energy supply crisis stemming from the decoupling from Russian energy,the impact of America's unilateral trade policy,structural flaws within the EU itself,and the intensification of global industrial competition.To overcome these challenges,the EU has introduced a series of new industrial policies,aiming at revitalizing its industries by strengthening support for local manufacturing,enhancing protective mechanisms for its domestic production,building diversified supply chains,and prioritizing the development of military industry.However,due to multiple obstacles such as heavy external dependence,significant funding gaps,internal divisions,and strategic short-sightedness,the EU still faces a long and arduous journey in its industrial revival.
文摘The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has driven a growing need for robust ICS security measures.Among the key defences,intrusion detection technology is critical in identifying threats to ICS networks.This paper provides an overview of the distinctive characteristics of ICS network security,highlighting standard attack methods.It then examines various intrusion detection methods,including those based on misuse detection,anomaly detection,machine learning,and specialised requirements.This paper concludes by exploring future directions for developing intrusion detection systems to advance research and ensure the continued security and reliability of ICS operations.
